This book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and...
You can cache static assets - more than half the payload needed to respond to many web requests - and even application‑generated web pages (whether partial or complete). And you can use cache clusters and microcaching to increase the caching capability of your web applications while simplifying implementation and reducing operational complexity.
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Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it.
This updated second edition guides you through...
It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and numbe...
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motio...
This book examines the much-debated question of how to unleash the potential of young people with promising intellectual abilities and motivation. It looks at the increasingly important topic of excellence in education, and the shift in focus towards the provision of programs to support talented students in higher education. It provides a systemati...
This book discusses a core question in many fields of the social sciences, namely how to create, share and adopt new knowledge. It creates an original space for conversation between two lines of research that have developed largely in parallel for a long time: social network theory and the geography of knowledge. This book considers that relational...
Globalization is a powerful force with far reaching impacts on education and education policy. The growth of large scale international surveys of student achievement and the increasing role played by intergovernmental agencies in education means that the influence that globalization exerts on education is likely to increase even further in the futu...
This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
Prof. Dr. Oliver Niggemann is Professor for Ar...
This book presents theoretical framework and sample applications of variant construction. The first part includes the components variant logic, variant measurements, and variant maps, while the second part covers sample applications such as variation with functions, variant stream ciphers, quantum interference, classical/quantum random sequences, w...
This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions propo...
Optimizing HPC Applications with Intel Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve...
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world ...
This free book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 ful...
The Quechan are a Yuman people who have traditionally lived along the lower part of the Colorado River in California and Arizona. They are well known as warriors, artists, and traders, and they also have a rich oral tradition. The stories in this volume were told by tribal elders in the 1970s and early 1980s. The eleven narratives in this volume ta...
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural ...
This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods. It is intended for all readers who wish to know more about the market research process, data management, and the most commonly used methods in m...
Now in its sixth edition this successful undergraduate textbook gives a well-balanced and comprehensive introduction to the topics of classical and modern astronomy. While emphasizing both the astronomical concepts and the underlying physical principles, the text provides a sound basis for more profound studies in the astronomical sciences. The cha...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
This book provides end-to-end guidance on the Docker application development lifecycle with Microsoft tools and services while providing an introduction to Docker development concepts for readers who might be new to the Docker ecosystem. This way, anyone can understand the global picture and start planning development projects based on Docker and M...
Within an SRE organization, teams usually develop very different automation tools and processes for accomplishing similar tasks. Some of this can be explained by the software they support: different systems require different reliability solutions. But many SRE tasks are essentially the same across all software: compiling, building, deploying, canar...
Istio is one of the most popular solutions for service meshes in cloud-native infrastructures, and it is most often deployed on Kubernetes clusters. In Istio Succinctly, authors Rahul Rai and Tarun Pabbi provide a practical guide to getting started with Istio, from setting up a Kubernetes cluster, to managing its traffic management, security, obser...
Whether you're just curious, getting started with Kubernetes, or have experience with it, this curriculum will help you learn more about Kubernetes and running containerized applications. You'll learn about core Kubernetes concepts and use them to deploy and scale applications in practical tutorials. By the end of this curriculum you'...
Author Dave Vickers provides a thorough guide to using Hadoop directly on Windows operating systems. From a conceptual overview to practical examples, Hadoop for Windows Succinctly is a valuable resource for developers....
With excellent orchestration and routing capabilities, Kubernetes is an enterprise-grade platform for building microservices applications. Kubernetes is evolving as the de facto container management tool used by organizations and cloud vendors all over the world. Kubernetes Succinctly by Rahul Rai and Tarun Pabbi is your guide to learning Kubernete...
Big Data collected by customer-facing organisations - such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings - account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from...
This text is a practical guide for linguists, and programmers, who work with data in multilingual computational environments. We introduce the basic concepts needed to understand how writing systems and character encodings function, and how they work together at the intersection between the Unicode Standard and the International Phonetic Alphabet. ...
This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters. Following an overview of the EQ-5D and its analysis, we describe how the questi...
New Global Cities in Latin America and Asia: Welcome to the Twenty-First Century proposes new visions of global cities and regions historically considered "secondary" in the international context. The arguments are not only based on material progress made by these metropolises, but also on the growing social difficulties experienced (e.g....
NoSQL is a modern data persistence storage paradigm that provides data persistence for environments where high performance is a primary requirement. Within NoSQL, data is stored in such a way as to make both writing and reading quite fast, even under heavy load.
Redis and Redis Enterprise are market-leading, multi-model NoSQL databases that brin...
Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separa...